Jitao Zhou

I am a Deep Learning Engineer and Machine Learning Consultant specializing in computer vision, lightweight model architecture, and industrial AI applications. With a strong foundation in both algorithmic research and practical deployment, I help businesses and researchers build, optimize, and deploy intelligent vision systems.My expertise bridges the gap between complex deep learning theory and real-world engineering, particularly in environments requiring high accuracy and low computational overhead.My Core Services Include:
* Computer Vision & Object Detection: Custom development and training of state-of-the-art YOLO models (including v5, v8, and v10) for complex environments, adverse weather, and low-light conditions.
* Edge AI & Model Optimization: Compressing and deploying high-performance models onto edge devices (such as NVIDIA Jetson Nano/NX) using Int8/FP16 quantization, TensorRT, and model pruning to ensure real-time, low-latency execution.
* Industrial & Agricultural AI Solutions: Designing automated defect detection systems, integrating machine learning into traditional manufacturing quality control pipelines , and developing robust disease detection models for agricultural applications.
* Advanced AI Integrations: Implementing deep reinforcement learning (DRL) for autonomous path planning , utilizing LLMs for data automation , and developing intelligent material forming solutions.Technical Stack:
* Frameworks: PyTorch, OpenCV, ROS * Programming: Python, C++, SQL, MATLAB * Specialized Domains: Unsupervised learning, medical/industrial image segmentation, and edge-deployable architectures.Whether you need a proof-of-concept for a new AI venture, a highly accurate defect detection system for manufacturing, or optimization of an existing neural network for edge hardware, I provide end-to-end support from data processing to final deployment.